https://github.com/itsmandrew/diabetes-cs178
Final project for CS178, predicting whether and when will patient with diabetes be readmitted in hospital after the treatment.
https://github.com/itsmandrew/diabetes-cs178
knn logistic-regression neural-network python scikit-learn
Last synced: 2 months ago
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Final project for CS178, predicting whether and when will patient with diabetes be readmitted in hospital after the treatment.
- Host: GitHub
- URL: https://github.com/itsmandrew/diabetes-cs178
- Owner: itsmandrew
- Created: 2024-05-29T01:20:50.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-07T02:06:10.000Z (about 2 years ago)
- Last Synced: 2025-03-12T22:35:32.474Z (over 1 year ago)
- Topics: knn, logistic-regression, neural-network, python, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 968 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Installation
This program is ran on Python 3.10.
If you are currently running a different Python version, you can follow this so that you can change Python versions and create the environment for this project. (Optional if conda-forge doesn't work) [Link text Here](https://ggkbase-help.berkeley.edu/how-to/install-pyenv/)
Clone the repository.
```bash
git clone
cd
```
We also use miniconda for the virtual environment by following these steps.
(current directory)
```bash
conda config --add channels conda-forge
conda search python # Checking if the Python version is there
conda create --name [name_of_env] python3.10
```
If the above does not work, I recommend using pyenv to switch into the Python version and then running the command above without the last flag 'python3.10'
Once the environment is created we activate the virtual environment.
```bash
conda activate [name_of_env]
pip install -r requirements.txt
```
Done.